Senior Data Integration Engineer I at Talkdesk

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

0.0

Posted On

19 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Airflow, Starburst, dbt, Kafka, Python, SQL, ETL, Data Modeling, AWS, Data Pipelines, Cloud Computing, Data Warehousing, Dimensional Modeling, Infrastructure Management, Troubleshooting

Industry

Software Development

Description

As a Data Integration Engineer, you will have an opportunity to build critical Integration infrastructure that surfaces data and insights across the company. The Integration team is really the intersection of business processes with business and platform. You will be responsible for designing, building, and maintaining the integration infrastructure and systems that support Talkdesk’s SaaS platforms, Familiarity with AWS Identity and Access Management (IAM), VPC configurations, Firewalls, Security Groups, and DNS. The role may include designing and implementing integration solutions, developing and deploying data pipelines, and creating and maintaining data visualization tools. Responsibilities: Design and develop robust and scalable integration pipelines to support data integration using Kafka, Fivetran, Snowflake, Airflow, Starburst and dbt. Help lead the implementation and maintenance of the data platform solutions, ensuring data integrity, performance, and security. Strong understanding of cloud computing architecture, IaaS, and platform management. The ability to trace logs, troubleshoot performance bottlenecks, and resolve mission-critical system downtime. Collaborate with multi-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality solutions. Evaluate and implement standard practices for data ingestion, ETL processes, and data quality frameworks. Optimize and tune data processing workflows and SQL queries for improved performance and efficiency. Contribute to ad hoc projects executed by the business analytics team by structuring integrations, data, conducting analyses, and synthesizing presentations or other report-outs Stay up-to-date with industry trends and advancements in integration, continuously improving the team's technical knowledge and skills. Collaborate with infrastructure and operations teams to ensure reliable and scalable data storage, processing, and monitoring solutions. Develop an in-depth understanding of our industry on integration platforms like Boomi, Starburst. What You Bring To The Team: Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred. Proven experience (5+ years) in data engineering, designing and implementing data pipelines, and building data infrastructure. Strong expertise in working with Snowflake, Airflow, Starburst and dbt, including data modeling, ETL, and data quality assurance. Proficiency in SQL and experience with optimizing and tuning queries for performance. Solid understanding of data warehousing concepts, dimensional modeling, and data integration techniques. Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data technologies. Strong programming skills in Python or other scripting languages for data manipulation and automation. Excellent problem-solving and troubleshooting abilities with a keen attention to detail. Strong communication skills with the ability to effectively collaborate with multi-functional teams and partners. Experience in database maintenance, schema design and relational modeling Clear communication about complex technical topics Comfortable working in a fast-paced and highly collaborative environment Value plus to have: Experience with streaming data processing frameworks (e.g., Apache Kafka, Apache Flink). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Knowledge of distributed computing frameworks (e.g., Spark, Hadoop). Experience with data governance, data security, and compliance practices. Understanding of DevOps principles and experience with CI/CD pipelines. Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us. Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation! Work Environment and Physical Requirements: Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.) The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.

Responsibilities

Design, build, and maintain scalable integration infrastructure and data pipelines to support SaaS platforms. Collaborate with cross-functional teams to optimize data processing workflows and ensure data integrity and security.